AIF360 and awesome-fairness-in-ai
This is a complement relationship: the curated list aggregates and organizes fairness resources including practical tools like AIF360, helping practitioners discover and evaluate bias-auditing solutions across the ecosystem.
About AIF360
Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Provides pre- and in-processing debiasing algorithms (reweighting, disparate impact removal, adversarial debiasing) alongside 20+ fairness metrics spanning group fairness, individual fairness, and sample distortion measures. Available in both Python and R with modular dependencies, allowing users to install only required algorithm backends (TensorFlow for adversarial debiasing, CVXPY for optimization-based methods). Extensible architecture designed for research-to-practice translation across finance, HR, healthcare, and education domains.
About awesome-fairness-in-ai
datamllab/awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources
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